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Entry Level Data Engineering Jobs in Silver Spring, MD

Arcfield

Data Scientist I

Chantilly, VA · On-site

Responsibilities Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential ... Degree in Engineering (e.g. aerospace, mechanical, electrical, computer/software), Computer Science ...

Pwc

AI & GenAI Data Scientist - Manager

Washington, DC

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Baltimore, MD

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsData Engineering JobsEntry Level Data Engineering JobsEntry Level Data Engineering Jobs in Silver Spring, MD

Entry Level Data Engineering information

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How much do entry level data engineering jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for entry level data engineering in Silver Spring, MD is $20.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $22.60 per hour, depending on experience, location, and employer.

What is an entry level data engineer?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an entry level data engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

What are the key skills and qualifications needed to thrive as an entry level data engineer?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Are entry level data engineers still in demand?

Entry level data engineers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, Python, cloud platforms, and data pipeline tools like Apache Spark are valuable for these roles, which often offer strong job growth prospects.

What does an entry level data engineer do?

An entry level data engineer designs, builds, and maintains data pipelines and infrastructure to support data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. This role often involves collaborating with data scientists and analysts to optimize data workflows and improve data quality.

What are the most commonly searched types of Data Engineering jobs in Silver Spring, MD?

The most popular types of Data Engineering jobs in Silver Spring, MD are:

What are popular job titles related to Entry Level Data Engineering jobs in Silver Spring, MD?

For Entry Level Data Engineering jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Engineering jobs in Silver Spring, MD look for?

The top searched job categories for Entry Level Data Engineering jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Entry Level Data Engineering jobs?

Cities near Silver Spring, MD with the most Entry Level Data Engineering job openings:

Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,520 per year, or $20.9 per hour.

Data Scientist I

Chantilly, VA • On-site

Arcfield
IT Services • 1 - 5K employees
Learn more about Arcfieldexternal

Full-time

Medical, Life, Retirement, PTO

Posted 10 days ago

Job description

Responsibilities
Arcfield is looking for an entry-level DATA SCIENTISTS to serve as an essential member of a team responsible for transforming raw data into meaningful insights and tools that improve decision-making, driving innovation, optimizing operations, and adding measurable value to our customer's Ground Enterprise. Come join our team on the Geralt MERIGOLD Program.
The ideal candidate will be able to combine technical know-how with business acumen to create impactful solutions. Duties include but are not limited to the following:
  • Working on assignments requiring considerable judgment and initiative
  • Help onboard, operate, and transition large-scale data science and AI/ML models in cloud and on-premises computing environments
  • Support pipeline development for data, software, and algorithm delivery to ensure reliability, security compliance, and seamless integration across domains
  • Support project development by visualizing, analyzing, trending, and providing metrics for Systems Program Office -level projects
  • Provide technical support for research, development, and the systematic transition of advanced data fusion, analytics, and automated workflow solutions to operational environments
  • Draft solutions to routine technical problems
  • Assist with developing and executing data management plans and policies
  • Perform analysis of unstructured and semi-structured data, including latent semantic indexing (LSI), entity identification and tagging, complex event processing (CEP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures
  • Participate in large-scale analysis of unstructured data for high-value use cases visualized through multi-dimensional interfaces
  • Handle processing and indexing requests for both high-volume data collections and high-velocity data streams
  • Identify insights, patterns, and trends in big data environments using computational and technical skills
  • Assist with designing, developing, and deploying sophisticated applications using advanced unstructured or semi-structured data analysis techniques
  • Interpret, connect, predict, and deliver actionable recommendations based on complex data analysis
  • Support data transportation and transformation tasks

Qualifications
Required:
  • Must possess and be able to maintain a TS/SCI clearance with polygraph
  • BS 0-2 Years of HS 6-8
  • Interest in solving technical problems; Strong analysis skills
  • Good presentation and communication skills
  • Ability to work independently and within a team environment
  • Experience with or understanding of cloud-based tools for data analysis

Desired:
  • Degree in Engineering (e.g. aerospace, mechanical, electrical, computer/software), Computer Science, Data Science, Imaging Science, Mathematics, Physics or other related technical fields
  • Interest in writing code; High degree of computer literacy
  • Experience in applying machine learning techniques, algorithm analysis, and data clustering
  • Experience with utilizing open-source textual processing tools for data processing tasks
  • Demonstrated experience with employing visual analytic tools for data interpretation
  • Experience with applying entity extraction and conceptual search technologies
  • Experience with Unix/Linux Scripting
  • Experience with Python, C/C++, Fortran, or similar
  • Experience with MS Excel, Python, R, MATLAB, or similar
  • Experience with Data Mining, Analysis, Statistics, Performance Analysis, or Predictive Analytics and Reporting using various methods and tools
  • Ability to demonstrate experience in software development using platforms like:
    • Open-source enterprise software (e.g., Java, Linux, Ruby, Python)
    • Windows development stack (e.g., .NET, C#, C++)

Equal Pay Act
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield 's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $66,456.39 Max: $115,554.76
EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

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